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Updated: Jun 7, 2025

Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

Published on: July 9, 2021

Uncovering functional lncRNAs by scRNA-seq with ELATUS.

Enrique Goñi^1,2,3, Aina Maria Mas^1,2,3, Jovanna Gonzalez^1,2,3

¹Center for Applied Medical Research, University of Navarra, PIO XII 55 Ave, Pamplona, Spain.

Nature Communications

|November 9, 2024

Summary

This summary is machine-generated.

We developed ELATUS, a new computational framework to improve the detection of long non-coding RNAs (lncRNAs) in single-cell RNA sequencing (scRNA-seq) data. ELATUS enhances the identification of functional lncRNAs, revealing novel roles in diseases like breast cancer.

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Last Updated: Jun 7, 2025

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Published on: July 9, 2021

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Published on: April 10, 2018

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Published on: May 19, 2019

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Long non-coding RNAs (lncRNAs) are crucial regulators of gene expression in cellular functions and diseases.
Studying cell type-specific lncRNAs using single-cell RNA sequencing (scRNA-seq) is challenging due to annotation inaccuracies and low expression levels.

Purpose of the Study:

To benchmark preprocessing methods for lncRNA detection in scRNA-seq data.
To develop and validate a computational framework, ELATUS, for enhanced lncRNA identification.
To uncover novel, biologically significant lncRNAs and their roles in pathologies.

Main Methods:

Systematic benchmarking of scRNA-seq preprocessing techniques.
Development of the ELATUS computational framework combining Kallisto pseudoalignment with selective functional filtering.
Validation using single-cell multiome ATAC-seq data and independent confirmation of detected lncRNA expression patterns.

Main Results:

ELATUS significantly enhances the detection of functional lncRNAs from scRNA-seq data.
ELATUS demonstrates higher concordance with ATAC-seq profiles compared to standard methods, especially with imperfect reference annotations.
The framework identified previously undocumented lncRNAs, including AL121895.1, a novel cis-repressor lncRNA implicated in breast cancer progression.

Conclusions:

A specialized scRNA-seq workflow tailored for lncRNAs is essential for comprehensive analysis.
ELATUS provides a robust method for uncovering the multifaceted roles of lncRNAs in cellular processes and disease.
The study highlights the potential of ELATUS to reveal novel biomarkers and therapeutic targets, such as AL121895.1 in breast cancer.